Gleyber Torres — OGILVIE

Gleyber Torres2B Detroit Tigers

INJURED · Injured 10-Day (D10)

Age 29 R/R 5'10" / 205 lbs MLB HR +5%H +3% Svc 7.942 · Ctrl thru 2026 peak 2.5 · 2027

wRC+†vL 131107vR 82

AVG/OBP/SLG.262 / .352 / .401

PA283

HR8

K%17

BB%12

xwOBA.334

Barrel%5.6%

MLB%100%

Scouting · now → future

HIT

55→55

PWR

45→45

SPD

40→40

EYE

62↘60

trajectory · 10 yrs

2.8peak

2027

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2018

Service 7.942 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$22M	+1.1	$9M	-$13M
Totals		$22M		$9M	-$13M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2014	17	ROK	AZL Cubs	183	163	35	4	2	1	16	48	0	8	7	.215	.285	.282	.567	.067	.288	26	9	.257	55	-9	-1	+0	+1	+5	-0.5
2015	18	A	2 teams	538	501	119	17	4	2	30	150	2	22	14	.238	.283	.299	.583	.062	.331	28	6	.259	57	-26	-1	+0	+2	+15	-1.1
2016	19	A+	2 teams	623	563	130	32	4	12	49	180	5	25	15	.231	.298	.366	.664	.135	.317	29	8	.289	79	-15	-1	+0	+2	+18	0.4
2017	20	AA	2 teams	235	212	52	12	1	6	20	58	2	7	6	.245	.316	.396	.712	.151	.309	25	9	.319	102	+1	-1	+0	+1	+7	0.7
2018	21	MLB	2 teams	540	482	131	19	2	23	45	134	5	7	3	.272	.340	.463	.803	.191	.325	25	8	.342	120	+12	+0	-4	+2	+15	2.7
2019	22	MLB	New York Yankees	604	546	152	28	0	37	48	129	3	5	2	.278	.340	.533	.873	.255	.298	21	8	.369	140	+28	+0	-7	+6	+17	4.5
2020	23	MLB	New York Yankees	160	136	31	7	0	2	22	28	2	1	0	.228	.344	.324	.667	.096	.274	18	14	.309	95	-1	+0	+0	+2	+5	0.6
2021	24	MLB	New York Yankees	516	459	119	24	0	9	50	104	1	14	6	.259	.333	.370	.704	.111	.314	20	10	.310	96	-3	+0	-4	+6	+15	1.5
2022	25	MLB	2 teams	624	573	148	31	1	25	43	141	3	11	5	.258	.313	.447	.760	.188	.299	23	7	.327	108	+6	+0	+0	+2	+18	2.7
2023	26	MLB	New York Yankees	672	596	163	30	2	23	67	98	3	13	6	.273	.350	.446	.796	.173	.291	15	10	.344	122	+16	+0	-2	+2	+19	3.7
2024	27	MLB	New York Yankees	665	587	154	26	0	15	65	136	3	4	3	.262	.339	.383	.722	.121	.313	20	10	.319	102	+1	-0	-4	+2	+19	1.8
2025	28	MLB	Detroit Tigers	628	532	131	21	0	15	85	101	4	4	1	.246	.354	.370	.725	.124	.274	16	14	.327	109	+6	+0	-2	+2	+18	2.5
▸ 2026 Season (actual · ROS · total)
2026	29	MLB	Detroit Tigers	113	93	22	2	0	1	18	19	1	0	0	.237	.366	.290	.656	.054	.284	17	16	.308	94	-1	+0	+0	+0	+3	0.3
ROS	29	MLB	DET	170	146	38	6	0	4	21	29	1	1	0	.260	.357	.384	.741	.123	.298	17	12	.336	116	+3	+0	-1	+1	+5	0.8
TOT	29	MLB	DET	283	239	60	8	0	5	39	48	2	1	0	.251	.361	.347	.708	.096	.293	17	14	.325	107	+2	+0	-0	+1	+8	1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB	DET	616	530	136	21	1	14	77	85	4	3	1	.257	.355	.379	.734	.123	.281	14	12	.333	113	+9	+0	-4	+2	+17	2.5
2028	31	MLB	DET	601	517	131	21	0	13	75	86	4	1	0	.253	.352	.369	.722	.116	.280	14	12	.329	110	+7	+0	-5	+2	+17	2.2
2029	32	MLB	DET	582	501	125	19	0	12	73	86	3	0	0	.250	.348	.359	.708	.110	.278	15	13	.324	106	+4	+0	-6	+2	+16	1.7
2030	33	MLB	DET	552	475	117	18	0	11	69	85	3	0	0	.246	.346	.354	.699	.107	.277	15	12	.319	102	+1	+0	-6	+2	+16	1.3
2031	34	MLB	DET	504	434	105	16	0	9	62	82	3	0	0	.242	.341	.341	.682	.099	.275	16	12	.312	97	-2	+0	-7	+2	+14	0.8
2032	35	MLB	DET	447	387	91	13	0	8	55	77	2	0	0	.235	.333	.331	.664	.096	.273	17	12	.304	91	-5	+0	-7	+2	+13	0.2
2033	36	MLB	DET	386	334	76	11	0	6	47	71	2	0	0	.228	.326	.314	.641	.087	.270	18	12	.295	84	-7	+0	-8	+1	+11	-0.2
2034	37	MLB	DET	321	278	62	9	0	4	39	62	1	0	0	.223	.321	.299	.619	.076	.266	19	12	.286	77	-8	+0	-8	+1	+9	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			10167	8952	2246	385	17	251	1058	1970	56	126	69	.251	.334	.382	.716	.131	.293	19	10	.318	102	+20	-2	-74	+45	+288	28.2
/ 162G	—			650	572	144	25	1	16	68	126	4	8	4	.252	.336	.383	.719	.131	.294	19	10	.318	102	+1	+0	-5	+3	+18	1.8

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2014	17	ROK	AZL Cubs	183	154	43	6	3	1	25	33	0	8	7	.279	.380	.377	.757	.097	.339	18	14	.338	117	+4	-1	—	—	+5	0.8
2015	18	A+	Myrtle Beach Pelicans	24	23	4	0	0	0	1	7	0	0	1	.174	.208	.174	.382	.000	.250	29	4	.180	-4	-3	-0	—	—	+1	-0.3
2015	18	A	South Bend Cubs	514	464	136	24	5	3	43	108	2	22	13	.293	.356	.386	.741	.093	.373	21	8	.332	112	+7	-1	—	—	+15	2.1
2016	19	A+	Tampa Yankees	547	478	129	29	5	11	58	110	5	21	13	.270	.355	.421	.775	.151	.330	20	11	.344	122	+13	-1	—	—	+15	2.8
2016	19	INTL	Scottsdale Scorpions	76	62	25	4	1	3	14	8	0	4	2	.403	.513	.645	1.158	.242	.431	11	18	.502	242	+12	+0	—	—	+2	1.5
2017	20	AAA	Scranton/Wilkes-Barre RailRiders	96	81	25	4	1	2	13	26	1	2	2	.309	.411	.457	.867	.148	.426	27	14	.385	153	+6	-0	—	—	+3	0.8
2017	20	AA	Trenton Thunder	139	121	33	10	1	5	17	21	1	5	4	.273	.367	.496	.863	.223	.295	15	12	.380	149	+8	-1	—	—	+4	1.1
2018	21	MLB	New York Yankees	484	431	117	16	1	24	42	122	5	6	2	.271	.343	.480	.823	.209	.321	25	9	.359	133	+18	+0	-4	+2	+14	3.1
2018	21	AAA	Scranton/Wilkes-Barre RailRiders	56	49	17	3	1	1	5	10	0	1	1	.347	.407	.510	.918	.163	.400	18	9	.391	157	+4	-0	—	—	+2	0.5
2019	22	MLB	New York Yankees	604	546	152	26	0	38	48	129	3	5	2	.278	.340	.535	.875	.256	.296	21	8	.377	147	+32	+0	-7	+6	+17	5.0
2020	23	MLB	New York Yankees	160	136	33	8	0	3	22	28	2	1	0	.243	.356	.368	.724	.125	.286	18	14	.333	113	+2	+0	+0	+2	+5	0.9
2021	24	MLB	New York Yankees	516	459	119	22	0	9	50	104	1	14	6	.259	.333	.366	.699	.107	.314	20	10	.314	99	-1	+0	-4	+6	+15	1.6
2022	25	MLB	New York Yankees	572	526	135	28	1	24	39	129	3	10	5	.257	.312	.451	.762	.194	.295	23	7	.334	114	+9	+0	+0	+2	+16	2.8
2022	25	INTL	Leones del Caracas	52	45	13	1	0	1	6	7	0	1	0	.289	.373	.378	.750	.089	.316	13	12	.337	116	+1	+0	—	—	+1	0.3
2023	26	MLB	New York Yankees	672	596	163	28	2	25	67	98	3	13	6	.273	.350	.453	.803	.180	.288	15	10	.354	129	+22	+0	-2	+2	+19	4.3
2024	27	MLB	New York Yankees	665	587	151	26	0	15	65	136	3	4	3	.257	.334	.378	.713	.121	.306	20	10	.318	102	+1	-0	-4	+2	+19	1.8
2025	28	MLB	Detroit Tigers	628	532	136	22	0	16	85	101	4	4	1	.256	.362	.387	.750	.132	.284	16	14	.338	117	+12	+0	-2	+2	+18	3.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4301	3813	1006	176	4	154	418	847	24	57	25	.264	.340	.433	.774	.169	.299	20	10	.342	120	+96	+1	-22	+25	+122	22.7

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Gleyber Torres (OGILVIE)	29	55	45	40	60	.258/.355/.382	.124	.282	7	2	14%	13%	116	+1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Robbie Grossman 2019 · MLB	29	53→57	45	42→50	61	.257/.356/.389	.131	.309	12	4	20%	13%	117	+2.9	.250/.348/.392	.142	.299	13	11	19%	13%	114	+2.7	.242/.350/.402	.161	.287	17	17	21%	13%	111	+1.9
●Ronnie Belliard 2004 · MLB	29	52→58	45→50	46→45	53	.252/.318/.385	.133	.282	11	8	15%	8%	99	+1.7	.273/.331/.415	.142	.304	13	4	14%	8%	112	+2.6	.276/.330/.420	.145	.303	14	2	14%	7%	110	+2.5
✕Omar Narváez 2020 · MLB	28	53→55	51→50	39→30	56	.268/.350/.424	.156	.304	20	2	19%	11%	123	+3.3	.249/.331/.395	.146	.296	17	2	21%	10%	108	+2.3	.232/.319/.347	.115	.283	11	0	21%	10%	84	+0.3
●Jorge Cantu 2011 · MLB	29	54→60	50→60	45→40	49	.269/.322/.425	.156	.297	17	4	16%	6%	112	+2.6	.242/.291/.403	.161	.268	21	3	18%	6%	93	+1.3	.259/.314/.473	.213	.273	31	3	18%	6%	122	+2.0
●Robinson Chirinos 2013 · MLB	29	50→47	49→60	40→50	47	.249/.313/.398	.149	.291	17	4	21%	7%	102	+1.8	.224/.291/.366	.142	.270	16	4	23%	7%	84	+0.6	.229/.342/.433	.204	.295	26	2	29%	11%	117	+1.9
✕Brian Buscher 2010 · MLB	29	52→57	45	39→45	52	.254/.323/.373	.120	.287	13	4	17%	8%	98	+1.6	.233/.299/.354	.121	.258	12	5	14%	8%	83	+0.6	.232/.281/.362	.131	.232	11	0	6%	6%	79	+0.1
✕Hyun Soo Kim 2017 · MLB	29	58	45	40→30	57	.282/.360/.411	.128	.320	12	5	16%	10%	124	+3.4	.251/.326/.354	.103	.301	9	5	18%	9%	95	+1.4	.224/.302/.280	.055	.282	2	0	19%	9%	61	-0.4
●John Jaso 2014 · MLB	30	54→56	48→50	47→45	63	.266/.367/.419	.153	.299	14	7	16%	13%	129	+3.7	.269/.356/.428	.159	.313	15	5	18%	11%	127	+3.6	.269/.352/.428	.159	.313	14	2	18%	10%	122	+1.8
●Tommy La Stella 2018 · MLB	29	51→55	44→55	43→50	54	.247/.319/.372	.125	.280	11	4	16%	9%	96	+1.5	.262/.330/.400	.138	.281	16	3	13%	9%	108	+2.3	.268/.335/.436	.169	.265	21	1	9%	8%	117	+1.3
✕Dustan Mohr 2005 · MLB	29	53→54	49→55	42→45	53	.260/.340/.417	.158	.319	15	6	23%	10%	118	+3.0	.223/.298/.402	.179	.304	21	4	32%	9%	96	+1.5	.192/.255/.371	.180	.273	23	2	37%	7%	68	-0.2
●Paul Lo Duca 2001 · MLB	29	48→58	49→50	42→40	53	.242/.308/.391	.149	.258	17	8	15%	8%	97	+1.5	.285/.342/.451	.166	.281	19	4	7%	7%	127	+3.6	.284/.341/.426	.142	.286	14	2	6%	7%	115	+2.7
✕Michael McKenry 2014 · MLB	29	45→46	50→55	44→40	48	.231/.299/.387	.156	.280	18	4	24%	8%	92	+1.2	.243/.325/.408	.165	.299	18	6	24%	10%	109	+2.4	.231/.329/.388	.157	.295	17	5	26%	12%	101	+0.7
✕Mark Teahen 2011 · MLB	29	54→60	46→55	44→50	49	.262/.323/.396	.134	.321	12	7	22%	8%	104	+2.0	.232/.294/.332	.100	.306	8	7	25%	8%	76	+0.0	.212/.271/.287	.075	.290	5	5	27%	7%	51	-0.8
✕Ramon Martinez 2002 · MLB	29	53→52	44→45	44→40	54	.256/.322/.382	.126	.276	11	5	12%	8%	100	+1.7	.257/.321/.374	.117	.288	9	4	14%	8%	98	+1.6	.258/.321/.362	.104	.293	7	2	14%	8%	89	+0.4
●Chris Iannetta 2013 · MLB	30	46→56	51→60	42→45	60	.235/.342/.398	.163	.277	20	6	22%	13%	114	+2.7	.233/.348/.382	.149	.297	16	4	25%	14%	112	+2.6	.219/.344/.361	.142	.283	15	2	25%	15%	100	+1.1
✕Donovan Walton 2022 · MLB	28	51→54	49→50	40→45	50	.256/.322/.403	.148	.284	16	7	16%	7%	107	+2.2	.231/.292/.363	.132	.265	13	8	18%	7%	83	+0.6	.238/.301/.343	.104	.271	12	5	16%	7%	81	+0.3
✕Aledmys Díaz 2020 · MLB	29	49→58	51→55	43→45	49	.251/.305/.412	.161	.265	19	7	14%	6%	102	+1.8	.250/.308/.415	.165	.275	19	4	17%	6%	104	+2.0	.236/.290/.365	.129	.271	14	1	18%	5%	79	+0.2
●Gio Urshela 2021 · MLB	29	55→62	51→55	45→40	48	.279/.329/.448	.169	.312	18	4	17%	6%	121	+3.2	.275/.321/.424	.149	.326	16	4	20%	6%	111	+2.5	.278/.323/.408	.130	.332	14	2	20%	6%	104	+1.4
●Mark DeRosa 2004 · MLB	29	55→61	46→55	43→40	49	.268/.323/.395	.127	.294	13	6	14%	6%	104	+2.0	.256/.316/.385	.129	.294	13	5	17%	7%	98	+1.6	.288/.367/.447	.159	.334	15	4	17%	10%	133	+3.9
★Mark Loretta 2001 · MLB	29	54→64	45→50	38→45	57	.264/.332/.394	.130	.279	12	4	11%	9%	108	+2.3	.283/.347/.386	.103	.310	8	3	11%	8%	111	+2.5	.313/.379/.447	.133	.330	12	4	9%	9%	136	+4.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)